Ph.D.

Electrical & Computer Engineering
Texas Tech University, Lubbock TX.

Dissertation: Point-of-Care Application of Novel Image Processing and Machine Learning Algorithms in Digital Health

M.Sc. (GPA 3.92)

Electrical & Computer Engineering
Texas Tech University, Lubbock TX.

Focus on application of image processing and machine learning algorithms in smart health monitoring and consumer level software development

B.Sc. (GPA 3.37)

Bangladesh University of Engineering and Technology
Dhaka, Bangladesh

Thesis: ECG signal compression using data extraction and truncated singular value decomposition

Data Science Analyst

Department of Physiology and Biomedical Engineering,
Mayo Clinic, Rochester, MN.

Bioinformatics and deep learning tool development for application in enteric neuroscience..

Research Assistant

Department of Eelctrical and Computer Engineering,
Texas Tech University, Lubbock, TX

Developing a novel Federated Learning algorithm, and Smartphone based unbiased Skin Cancer Diagnosis Tool.

PhD Research Intern

Department of Physiology and Biomedical Engineering,
Mayo Clinic, Rochester, MN

Developing a novel imaging software for Enteric Neuroscience Program focused on mapping gut neurons using AI technology.
Reducing manual mapping time by 80% utilizing state-of-the-art technologies to provide quantitative analysis of acquired data.

Graduate Assistant

Electrical & Computer Engineering
Texas Tech University, Lubbock TX.

Graduate Part Time Instructor
Developed teaching methodology for undergraduate and graduate courses
Supervised 80+ students for programming and numerous projects

Graduate Research Assistant
NSF SBIR/STTR Grant- INOON- ($375k)- Prototype for Eye disease detection using smartphone (Hybrid SVM-CNN, Reinforcement learning, Android Studio)
NSF ICorps Grant ($50k)-Automatic Feature Identification of COVID-19: Symptom diagnosis platform (CNN, Hybrid LSTM-auto-encoder model (Python, Keras, Panda), and Transfer Learning)
NIH Grant- Reducing Motion Noise Artifact in Smartphone PPG Signal (XCode, Debugging and optimizing APIs)
NIH UG3 Grant ($350k)-AI-based Speech Therapy Software Development for Telehealth(UX-UI Python, SQL, full stack development)
NSF Grant ($50k)- Smartphone application to detect body shape and size of the consumer (Android application, Segmentation, Clustering, Decision Tree, Alexnet, and Resnet)
Korea Govt. Grant- Quantifying analyte in Lateral Flow Assay using Smartphone (Quantitative analysis, Java)

Executive Engineer

Siemens Healthineers Gmbh, Dhaka, Bangladesh

Database management, operations, KPI, and Service operations log of 100+biomedical devices (CT, MRI, Ultrasound) coordinating a system of 120+ employee